DescriptionCombining theoretical knowledge and practical applications, this advanced-level textbook covers the most important aspects of contemporary digital communication systems. Introduction to Digital Communication Systems focuses on the rules of functioning digital communication system blocks, starting with the performance limits set by the information theory. Drawing on information relating to turbo codes and LDPC codes, the text presents the basic methods of error correction and detection, followed by baseband transmission methods, and single- and multi-carrier digital modulations. The basic properties of several physical communication channels used in digital communication systems are explained, showing the transmission and reception methods on channels suffering from intersymbol interference. The text also describes the most recent developments in the transmission techniques specific to wireless communications used both in wireline and wireless systems. The case studies are a unique feature of this book, illustrating elements of the theory developed in each chapter. Introduction to Digital Communication Systems provides a concise approach to digital communications, with practical examples and problems to supplement the text. There is also a companion website featuring an instructors’ solutions manual and presentation slides to aid understanding.
- Offers theoretical and practical knowledge in a self-contained textbook on digital communications Explains basic rules of recent achievements in digital communication systems such as MIMO, turbo codes, LDPC codes,
About the Author.
1 Elements of Information Theory.
1.2 Basic Concepts.
1.3 Communication System Model.
1.4 Concept of Information and Measure of Amount of Information.
1.5 Message Sources and Source Coding.
1.6 Discrete Source Coding.
1.7 Channel Models from the Information Theory Point of View.
1.8 Mutual Information.
1.9 Properties of Mutual Information.
1.10 Channel Capacity.
1.11 Decision Process and its Rules.
1.12 Differential Entropy and Average Amount of Information for Continuous Variables.
1.13 Capacity of Band-Limited Channel with Additive White Gaussian Noise.
1.14 Implication of AWGN Channel Capacity for Digital Transmission.
1.15 Capacity of a Gaussian Channel with a Given Channel Characteristic.
1.16 Capacity of a Flat Fading Channel.
1.17 Capacity of a Multiple-Input Multiple-Output Channel.
2 Channel Coding.
2.1 Idea of Channel Coding.
2.2 Classification of Codes.
2.3 Hard- and Soft-Decision Decoding.
2.4 Coding Gain.
2.5 Block Codes.
2.6 Nonalgebraic Decoding for Block Codes.
2.7 Algebraic Decoding Methods for Cyclic Codes.
2.8 Convolutional Codes and Their Description.
2.9 Convolutional Code Decoding.
2.10 Concatenated Coding.
2.11 Case Studies: Two Examples of Concatenated Coding.
2.12 Turbo Codes.
2.13 LDPC Codes.
2.14 Error Detection Structures and Algorithms.
2.15 Application of Error Detection – ARQ Schemes.
2.16 Hybrid ARQ.
3 Digital Baseband Transmission.
3.2 Shaping of Elementary Signals.
3.3 Selection of the Data Symbol Format.
3.4 Optimal Synchronous Receiver.
3.5 Error Probability at the Output of the Optimal Synchronous Receiver.
3.6 Error Probability in the Optimal Receiver for M-PAM Signals.
3.7 Case Study: Baseband Transmission in Basic Access ISDN Systems.
3.8 Appendix: Power Spectral Density of Pulse Sequence.
4 Digital Modulations of the Sinusoidal Carrier.
4.2 Optimal Synchronous Receiver.
4.3 Optimal Asynchronous Receiver.
4.4 ASK Modulation.
4.5 FSK Modulation.
4.6 PSK Modulation.
4.7 Linear Approach to Digital Modulations – M-PSK Modulation.
4.8 Differential Phase Shift Keying (DPSK).
4.9 Digital Amplitude and Phase Modulations – QAM.
4.10 Constant Envelope Modulations – Continuous Phase Modulation (CPM).
4.11 Trellis-Coded Modulations.
4.12 Multitone Modulations.
4.13 Case Study: OFDM Transmission in DVB-T System.
4.14 Influence of Nonlinearity on Signal Properties.
5 Properties of Communication Channels.
5.2 Baseband Equivalent Channel.
5.3 Telephone Channel.
5.4 Properties of a Subscriber Loop Channel.
5.5 Line-of-Sight Radio Channel.
5.6 Mobile Radio Channel.
5.7 Examples of Other Radio Channels.
5.8 Basic Properties of Optical Fiber Channels.
6 Digital Transmission on Channels Introducing Intersymbol Interference.
6.2 Intersymbol Interference.
6.3 Channel with ISI as a Finite State Machine.
6.4 Classification of Equalizer Structures and Algorithms.
6.5 Linear Equalizers.
6.6 Decision Feedback Equalizer.
6.7 Equalizers using MAP Symbol-by-Symbol Detection.
6.8 Maximum Likelihood Equalizers.
6.9 Examples of Suboptimum Sequential Receivers.
6.10 Case Study: GSM Receiver.
6.11 Equalizers for Trellis-Coded Modulations.
6.12 Turbo Equalization.
6.13 Blind Adaptive Equalization.
6.14 Equalizers for MIMO Systems.
7 Spread Spectrum Systems.
7.2 Pseudorandom Sequence Generation.
7.3 Direct Sequence Spread Spectrum Systems.
7.4 RAKE Receiver.
7.5 Frequency-Hopping Spread Spectrum Systems.
7.6 Time-Hopping Spread Spectrum System with Pseudorandom Pulse Position Selection.
8 Synchronization in Digital Communication Systems.
8.2 Phase-locked loop for continuous signals.
8.3 Phase-Locked Loop for Sampled Signals.
8.4 Maximum Likelihood Carrier Phase Estimation.
8.5 Practical Carrier Phase Synchronization Solutions.
8.6 Timing Synchronization.
9 Multiple Access Techniques.
9.2 Frequency Division Multiple Access.
9.3 Time Division Multiple Access.
9.4 Code Division Multiple Access.
9.5 Orthogonal Frequency Division Multiple Access.
9.6 Single-Carrier FDMA.
9.7 Space Division Multiple Access.
9.8 Case Study: Multiple Access Scheme in the 3GPP LTE Cellular System.
- A fully comprehensive, self-contained textbook on digital communications – all the essential reading for advanced undergraduate and graduate students in one book!
- Combines mathematical descriptions with intuitive explanations of the physical facts, to assist students in acquiring a deeper understanding of the area.
- Companion website features: solutions manual and presentation slides